Amal Agarwal

Hey! I'm currently a Machine Learning Engineer at Meta, where I help build large-scale ML systems that power ads ranking, retrieval, and personalization. Before joining Meta, I was a Data Scientist at eBay, working on ML models to enhance search ranking—essentially connecting millions of users with content they'll love based on their behavior and lots of experimentation. With a PhD in Statistics and practical industry experience, I enjoy using machine learning to tackle real-world problems in ways that actually work at scale.

Over the past few years, I've helped 30+ mentees successfully prep for interviews and advance their careers in ML engineering, data science, and applied research. My mentoring approach is relaxed yet structured—always focused on your individual goals and helping you build confidence and skills efficiently. I can help with resume/ LinkedIn feedback, let you choose either from a variety of Data and ML interview mock practice sessions or help you in your career transition/ growth. Here are specific mock interviews I can offer –

1. ML System Design: Tackle system design challenges like ranking, retrieval, personalization, and experimentation.

2. Coding Interviews: Solve Leetcode problems together, with clarity, accuracy, and efficiency emphasizing on interview communication.

3. Behavioral Interviews: Structure your experiences clearly to highlight your impact and strengths.

4. Data Science & A/B Testing: Typically design and analysis of online experiments, with a focus on interview gotchas.

5. Product Case Studies: Enhance product intuition and analytical thinking to tackle business product questions.

6. Statistical Modeling & Theory: Articulate simple yet popular concepts breaking down the 4 signals interviewers look for.

If you're ready to level up your ML or data science career, let’s chat! Reach out, and we’ll get started on your next step.